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Remote Supercomputer Jobs (NOW HIRING)

Nebius

Sr. Solutions Engineer (GPU Infrastructure)

$180K - $220K/yr

... supercomputing systems. * Ability to diagnose issues across hardware, networking, and software ... Remote work reimbursement: up to $85/month for mobile and internet. * Disability & life insurance ...

Nvidia

Manager, First Time Deployment - NVIS

Track record leading bring-up and deployment of large clusters or supercomputing environments ... We are open to remote work location and look forward to have you join our team! Your base salary ...

Nvidia

Manager, First Time Deployment - NVIS

OR · On-site +1

Track record leading bring-up and deployment of large clusters or supercomputing environments ... We are open to remote work location and look forward to have you join our team Your base salary ...

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

... supercomputers, driving them forward into a new generation. Our new software-defined hardware ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

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Remote Supercomputer information

What is a remote supercomputer?

Remote supercomputers are powerful computing systems that can be accessed and operated over the internet or a network, rather than requiring physical presence at their location. These systems allow researchers, scientists, and engineers to run complex simulations, analyze large datasets, and perform high-performance computations from anywhere in the world. Remote access to supercomputers is typically managed through secure protocols, specialized software, and user authentication to ensure data security and efficient resource allocation. This setup enables collaboration across institutions and accelerates scientific discovery by making advanced computational resources more widely available.

What skills and qualifications are needed to work with remote supercomputers?

To thrive as a Remote Supercomputer Operator, you need expertise in high-performance computing (HPC), system administration, and a relevant degree in computer science or engineering. Familiarity with operating systems like Linux, cluster management tools (e.g., SLURM), and parallel programming frameworks is typically required. Strong problem-solving, attention to detail, and effective communication skills set top operators apart. These competencies are crucial for maintaining system uptime, optimizing performance, and supporting users in complex computational environments.

What are common challenges faced by professionals working with remote supercomputers, and how can they be addressed?

Professionals working with remote supercomputers often encounter challenges such as network latency, data transfer bottlenecks, and the need for efficient job scheduling. To address these, it's important to familiarize yourself with optimized data management practices and use appropriate file transfer tools. Additionally, collaborating closely with system administrators and leveraging user support resources can help resolve technical issues quickly. Staying updated on best practices and system upgrades is also key to maintaining productivity in this dynamic environment.

What is the difference between Remote Supercomputer vs Remote Data Scientist?

AspectRemote SupercomputerRemote Data Scientist
Required CredentialsAdvanced degrees in computer science, high-performance computing certificationsDegree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Scientist
Work EnvironmentAccess to high-performance computing clusters, specialized hardwareData analysis platforms, cloud services, programming environments
Industry UsageResearch institutions, scientific computing, large-scale simulationsTech companies, finance, healthcare, marketing analytics
Common Search/ComparisonHigh-performance computing roles, supercomputing jobsData analysis roles, machine learning jobs

Remote Supercomputers focus on managing and utilizing high-performance computing resources for complex simulations and research, requiring specialized technical skills. Remote Data Scientists analyze large datasets using statistical and machine learning techniques, often leveraging cloud platforms. While both roles involve advanced technical expertise, they serve different industry needs and environments.

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Remote Supercomputer jobs near you
Infographic showing various Remote Supercomputer job openings in the United States as of September 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

HPC Customer Solutions Engineer

Minneapolis, MN • On-site, Remote

NextSilicon
See more jobs at NextSiliconexternal

Full-time

Re-posted yesterday

Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

Join our customer success team as an HPC Customer Solutions Engineer. We are seeking a highly skilled, customer-centric individual to act as the primary link between our cutting-edge HPC technology and its end-users.
Operating at the forefront of computer science and scientific applications, you will be instrumental in enabling our customers to achieve peak performance in diverse fields such as graph algorithms, sparse computations, weather prediction, and more. As our platform evolves to incorporate next-generation capabilities (including AI/ML), you will be a key resource in supporting these emerging technologies. You will not only directly support users but actively drive the usability and feature development of our platform by collaborating closely with our product and software engineering teams. If you are passionate about science and technology, thrive in a customer-facing role, and want to shape the future of high-performance computing, we want to hear from you.
We currently have 2 open requisitions for this Customer Solutions Engineer role.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Requirements
  • Master's or higher degree in computer science, engineering, physics, or a related field; candidates may be considered if they have relevant experience in lieu of an advanced degree
  • Proficiency in C, C++, and/or Fortran programming languages
  • Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC
  • Familiarity with HPC software stack components including LLVM compilers and toolchains, libraries, schedulers, and job submission systems (e.g., SLURM or PBS)
  • Experience with Linux/Unix operating systems and command-line tools for system navigation, administration, and troubleshooting
  • Knowledge of performance optimization techniques for parallel computing, including code profiling, tuning, and scaling
  • Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation
  • Strong verbal communication for effective customer engagement and internal advocacy
  • Results-driven and relentless, with a bias toward creative solutions and a no-excuses approach to delivering outcomes
  • US citizenship with eligibility to visit US government research facilities strongly preferred

Desirable technical skills
  • Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas)
  • Familiarity with key AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, vLLM and llama.cpp) and/or working knowledge of optimizing, profiling and debugging AI/ML workloads on parallel architectures (e.g., GPU acceleration, distributed training)
  • Packaging, compiling, troubleshooting, running open-weight models
  • Working with or in a neocloud/hyperscaler provider

Responsibilities
  • Provide hands-on support, assisting customers in resolving technical issues for scientific HPC applications
  • Identify, troubleshoot, and reproduce resolving client-facing bugs and runtime errors, ensuring timely resolution and customer satisfaction
  • Drive new software features through direct customer engagement, and resolve client-facing issues.
  • Maintain up-to-date knowledge of key software features and communicate effectively with customers to provide guidance and support
  • Act as a liaison between internal teams, end-users, and relevant stakeholders to advocate for and fulfill customer needs, translating technical requirements into software features
  • Contribute to the development and upkeep of user documentation and support knowledge base
  • Profile and identify bottlenecks in a diverse range of HPC applications across various architectures

Apply